PM566-Final-project
Salaries in the field of artificial intelligence
Description
This project explores salary trends and influencing factors in the global AI and tech industry. Using a dataset that spans roles, experience levels, employment types, and locations, the analysis highlights key variables like job title, company size, remote work, and geography. Discover how these factors shape salary distributions and gain insights for career planning or competitive salary benchmarking. Access interactive visualizations and the full report for a deeper dive into the findings.
This project raises two questions worth exploring and explains them after data quantification and in-depth analysis.
The following is a visual analysis and preliminary conclusions of these two questions.
What are the key factors that influence salary levels in the global AI and tech industry, and how do these factors interact to shape salary?
Whether there are more interactions between different factors related to salary.
Written Report
You can download the whole final project written report by clicking here
What are the key factors that influence salary levels in the global AI and tech industry, and how do these factors interact to shape salary?
EN: Entry-level / Junior, EX: Executive-level / Director, MI: Mid-level / Intermediate, SE: Senior-level / Expert
Figure 1: There is a strong correlation between salary and experience_level. EX has the highest salary, SE has the second highest salary and EN has the lowest salary. It is reasonable that income levels increase with experience levels.
CT: Contract, FL: Freelance, FT: Full-time, PT: Part-time
Figure 2:Full-time job has the highest salary, the contract job has the second highest salary and freelance job has the lowest salary. The result is reasonable and explain that salary levels are closely related to employment types.
Figure 3:The average salary shows an overall upward trend over time, and the upward trend slows down from 2021 to 2024.